Machine Learning Use Cases • 13/06/2026 Hotel staffing optimization: how AI scheduling aligns labor to demand and reduces agency spend
Predictive & Prescriptive Analytics • 11/05/2026 The 15-minute repricing question: how to run a dynamic pricing loop without destroying rate parity
Predictive & Prescriptive Analytics • 02/06/2026 Competitor rate intelligence: what AI scraping reveals about your compset's pricing strategy
Predictive & Prescriptive Analytics • 21/04/2026 Mews Business Intelligence lands inside the PMS: the end of the standalone hotel BI layer?
Predictive & Prescriptive Analytics • 16/06/2026 Group business displacement: the AI decision model that tells you when to decline the conference RFP How AI powered group business displacement models help hotels decide when to decline conference RFPs, protect transient demand, and maximize total revenue ethically.
Machine Learning Use Cases • 12/06/2026 Revenue management during disruption: how ML models handle sudden demand shocks and why most fail How hotel revenue management AI behaves under demand disruption, why ML models fail during shocks, and how human in the loop design protects RevPAR.
Predictive & Prescriptive Analytics • 14/05/2026 90% demand forecasting accuracy: what it changes for a GM running a 300-room property How hotel GMs can turn predictive analytics in travel into concrete staffing, pricing and operations decisions, beyond headline forecast accuracy claims.
Predictive & Prescriptive Analytics • 06/05/2026 Predictive maintenance for hotels: the IoT and AI stack that finally makes the business case Learn how predictive maintenance in hotels has moved from theory to daily operations, with IoT sensors, data pipelines, and 90-day pilots that cut downtime, reduce costs, and protect guest satisfaction. by Aurelia Caldwell
Predictive & Prescriptive Analytics • 22/04/2026 Summer 2026 pricing: the AI-assisted playbook for April revenue teams Learn how AI-led summer hotel pricing strategies, dynamic forecasting, and price fences help hotels maximise revenue, with quantified benchmarks from Cornell, HSMAI, HITEC, IDeaS and Duetto. by Aurelia Caldwell
Data Strategy & Architecture • 16/02/2026 How kassensystem hotels reshape guest experience and revenue intelligence How kassensystem hotels evolve into intelligent revenue hubs, integrating POS, PMS, cloud and AI to elevate guest experience, compliance and profitability. by Selene Nightingale
Digital Transformation • 25/01/2026 How hotels are transforming guest experiences and revenue with big data analytics Explore how hotels are transforming guest experiences and revenue with big data analytics, machine learning, and real-time data in the hospitality industry. by Ravi Chandra
